ReALM: Reference Resolution As Language Modeling

no code implementations • 29 Mar 2024 • Joel Ruben Antony Moniz, Soundarya Krishnan, Melis Ozyildirim, Prathamesh Saraf, Halim Cagri Ates, Yuan Zhang, Hong Yu, Nidhi Rajshree

Reference resolution is an important problem, one that is essential to understand and successfully handle context of different kinds.

Language Modelling

MARRS: Multimodal Reference Resolution System

no code implementations • 3 Nov 2023 • Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Ozyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou

Successfully handling context is essential for any dialog understanding task.

Natural Language Understanding

Hyperparameter Tuning for Deep Reinforcement Learning Applications

no code implementations • 26 Jan 2022 • Mariam Kiran, Melis Ozyildirim

Reinforcement learning (RL) applications, where an agent can simply learn optimal behaviors by interacting with the environment, are quickly gaining tremendous success in a wide variety of applications from controlling simple pendulums to complex data centers.

Decision Making reinforcement-learning +1